Title	Random matrix theory in reverse
Creator	Meckes, Mark
Publisher	Banff International Research Station for Mathematical Innovation and Discovery
Date Issued	2018-03-27T15:31
Description	The most classical problem in random matrix theory is to specify a natural joint distribution for the entries of a large random matrix, then study the asymptotic behavior of the distribution of the eigenvalues. I will describe joint work with Elizabeth Meckes on the opposite problem: For a natural model of random matrices with prescribed eigenvalues, we study the asymptotic behavior of the distribution of the matrix entries. Our results have applications to quantum mechanics, and shed new light on the universality phenomenon in classical random matrix theory.
Extent	30 minutes
Subject	Mathematics; Functional analysis; Convex and discrete geometry
Type	Moving Image
File Format	video/mp4
Language	eng
Notes	Author affiliation: Case Western Reserve University
Series	BIRS Workshop Lecture Videos (Banff, Alta)
Date Available	2018-09-24
Provider	Vancouver : University of British Columbia Library
Rights	Attribution-NonCommercial-NoDerivatives 4.0 International
DOI	10.14288/1.0372143
URI	http://hdl.handle.net/2429/67238
Affiliation	Non UBC
Peer Review Status	Unreviewed
Scholarly Level	Faculty
Rights URI	http://creativecommons.org/licenses/by-nc-nd/4.0/
Aggregated Source Repository	DSpace

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